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A Comparison of Variance Estimators Using the Taylor Series Approximation
A Comparison of Variance Estimators Using the Taylor Series Approximation
Working Paper Number RR84-21
Introduction
The selection of a variance estimator for large complex sample surveys is not straightforward. Most of the methods of variance estimation for such surveys are based upon some form of repeated subsampling. The random group, jackknife and balanced repeated replication methods differ primarily io the procedures for forming the subsamples. Previous comparative studies have been primarily empirical. One of our goals is to compare analytically the accuracy of these different subsample variance estimators.
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WORKING PAPER
Statistical Research Reports and Studies
Page Last Revised - October 28, 2021
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